{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### This notebook gives a brief introduction to Natural Language Processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Natural Language Processing is a tool for generating mathematical meaning from human language. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " It can be used to find similarity between words or phrases, identify the tone behind words, or classify groups of words or phrases.  In this example, we will use a particular type of NLP model, word2vec, which seeks to identify a mathematical vector for each word based on the types of words around it.\n",
    "\n",
    "We can use these vectors to generate a prediction on what NAICS code a business fits into based on the words it describes itself with on its tax forms, its website, and how the generaly public describes the business."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda2\\lib\\site-packages\\gensim\\utils.py:1197: UserWarning: detected Windows; aliasing chunkize to chunkize_serial\n",
      "  warnings.warn(\"detected Windows; aliasing chunkize to chunkize_serial\")\n",
      "C:\\Anaconda2\\lib\\site-packages\\ipykernel\\__main__.py:10: DeprecationWarning: The compiler package is deprecated and removed in Python 3.x.\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\n",
    "##First, we need to install our python packages\n",
    "import gensim\n",
    "from gensim import corpora\n",
    "from gensim.models import word2vec\n",
    "import pandas as pd\n",
    "import csv\n",
    "#import nltk\n",
    "from compiler.ast import flatten\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import RegexpTokenizer, sent_tokenize, word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "stemmer = PorterStemmer()\n",
    "from nltk import FreqDist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "word2vec models require a 'corpus' of text from which to infer their vectors.  In this example, we load a corpus of text from over 10,000 Reuters News Articles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'ASIAN', u'EXPORTERS', u'FEAR', u'DAMAGE', u'FROM', ...]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###import the corpus\n",
    "#nltk.download()\n",
    "from nltk.corpus import reuters\n",
    "### count the number of words\n",
    "reuters.words()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'.', 94687),\n",
       " (u',', 72360),\n",
       " (u'the', 58251),\n",
       " (u'of', 35979),\n",
       " (u'to', 34035),\n",
       " (u'in', 26478),\n",
       " (u'said', 25224),\n",
       " (u'and', 25043),\n",
       " (u'a', 23492),\n",
       " (u'mln', 18037)]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "####However, we can see that the most common words aren't that useful.\n",
    "FreqDist(reuters.words()).most_common(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The Reuters Corpus comes with distinct sentences already attached.  Sentence tokenization is an essential piece of this process:  it allows us to words relating to the same subjects with one another.  But it doesn't have common stop words removed. Stop words are common words that appear in a langauge that don't neccesarily have meaning, and will make our vectors less meaningful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', \"you're\"]\n"
     ]
    }
   ],
   "source": [
    "###from NLTK module, import the english stop words\n",
    "from nltk.corpus import stopwords\n",
    "stop_words=stopwords.words('english')\n",
    "###remove 'u' that appears as an artifact of some unicode strings\n",
    "stop_words.extend(['u', 'vs','said', 'mln','dlrs','the', 'pct', 'corp', 'inc','lt','cts','shr'])\n",
    "print [str(x) for x in list(stop_words)[0:10]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After removing stop words, the Reuters text corpus news section contains 54,716 sentences 755,791 words, 29,016 unique words.\n",
      "Ten most common post-filtering for Stop Words.\n",
      "[(u'year', 7529), (u'net', 6989), (u'billion', 5829), (u'loss', 5124), (u'would', 4673), (u'company', 4670), (u'bank', 3654), (u'oil', 3272), (u'last', 3243), (u'share', 3160)]\n"
     ]
    }
   ],
   "source": [
    "##Strip out stop words and punctuation\n",
    "import string\n",
    "reuters_filtered=[[w.lower() for w in x if w.lower() not in stop_words and w.isalpha()] for x in reuters.sents()]\n",
    "print \"After removing stop words, the Reuters text corpus news section contains {:,} sentences {:,} words, {:,} unique words.\".format(len(reuters_filtered), len(flatten(reuters_filtered)), len(set(flatten(reuters_filtered))))\n",
    "print \"Ten most common post-filtering for Stop Words.\"\n",
    "print FreqDist(flatten(reuters_filtered)).most_common(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now we 'Stem' our words.  Stemming changes words to their stem, which will help in matching words and their meanings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "government becomes govern\n",
      "census becomes censu\n",
      "businesses becomes busi\n",
      "company becomes compani\n"
     ]
    }
   ],
   "source": [
    "to_stem=['government', 'census', 'businesses', 'company']\n",
    "for i in to_stem:\n",
    "    print i + \" becomes \" + stemmer.stem(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Stemming (Not Run)\n",
    "#import string\n",
    "#reuters_filtered=[[stemmer.stem(w) for w in x] for x in reuters_filtered]\n",
    "#print \"After stemming, the Reuters text corpus news section contains {:,} sentences {:,} words, {:,} unique words.\".format(len(reuters_filtered), len(flatten(reuters_filtered)), len(set(flatten(reuters_filtered))))\n",
    "#print \"Ten most common post-filtering for Stop Words.\"\n",
    "#print FreqDist(flatten(reuters_filtered)).most_common(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are now ready to begin modelling with our tokenized data.  In this simple case, we just load the data as a text corpus, and then run a Word2Vec model (Mikolov, et al, 2013).  A word2vec (and it's sister, doc2vec) model seeks to generate a mathematical representation of words via an unsupervized nerual network.  This network reveals the relationship of a word to the words surrounding it (via the skip-gram model), which allows us to extract, in effect, factor loadings for each word in a N=500 hidden layer of the neural network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=word2vec.Word2Vec(reuters_filtered, min_count=10, window=20, size=500)\n",
    "model.train(reuters_filtered, total_examples=len(reuters_filtered), epochs=10)\n",
    "model.save('reuters.model')\n",
    "# store the learned weights, in a format the original C tool understands\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "###we have now saved the model to disk, now let's load it\n",
    "model=gensim.models.KeyedVectors.load('reuters.model')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we have the model, we can start to identify some interesting patterns.  \n",
    "Firstly, we can identify similar words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'cars', 0.7144315242767334),\n",
       " (u'automotive', 0.6909990310668945),\n",
       " (u'auto', 0.6806288957595825),\n",
       " (u'chemicals', 0.6553176641464233),\n",
       " (u'vehicles', 0.6492246389389038),\n",
       " (u'components', 0.6440892219543457),\n",
       " (u'manufacturer', 0.6316859722137451),\n",
       " (u'manufactures', 0.6267023682594299),\n",
       " (u'motor', 0.6248354315757751),\n",
       " (u'vehicle', 0.6182697415351868)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv.most_similar('car')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'steelmakers', 0.673865795135498),\n",
       " (u'iron', 0.6668707132339478),\n",
       " (u'petrochemical', 0.6408700942993164),\n",
       " (u'bethlehem', 0.627572238445282),\n",
       " (u'machinery', 0.6102157235145569)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "####Find the 5 most similar words to steel\n",
    "model.wv.most_similar('steel', topn=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'bureau', 0.7168888449668884),\n",
       " (u'widens', 0.6547637581825256),\n",
       " (u'tallow', 0.647362470626831),\n",
       " (u'statistics', 0.6345964670181274),\n",
       " (u'insee', 0.625633955001831)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "####Find the 5 most similar words to census\n",
    "model.wv.most_similar('census', topn=5)\n",
    "###Note: insee is the French National Institute of Statistics and Economic Studies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'privatisation', 0.4542459547519684),\n",
       " (u'ldp', 0.42056095600128174),\n",
       " (u'austerity', 0.41781938076019287),\n",
       " (u'allowed', 0.4160991609096527),\n",
       " (u'package', 0.4127354025840759)]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "####Find the 5 most similar words to government\n",
    "model.wv.most_similar('government', topn=5)\n",
    "##these are Reuters Financial news reports, from the early 2010s."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Our model can also teach us about similar relationships between words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "##this little function will allow us to examine the relationships\n",
    "def predfunc(x):\n",
    "    '''\n",
    "    inputs: x, string of three words\n",
    "    '''\n",
    "    a,b,c=x.split()\n",
    "    pred=model.wv.most_similar([c, a],[b])[0][0]\n",
    "    print \"{} is to {} as {} is to {}\".format(a, b, c, pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ireland is to britain as italy is to italian\n"
     ]
    }
   ],
   "source": [
    "predfunc('ireland britain italy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can also identify words that don't fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "##This function let's us repeat\n",
    "def nonmatch(x):\n",
    "    print model.wv.doesnt_match(x.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "britain\n"
     ]
    }
   ],
   "source": [
    "nonmatch('china korea thailand britain')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can also compare two words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3463110491214654"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv.similarity('franc','pound')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can also vizualize the Vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "###get most 250 common words\n",
    "words=FreqDist(flatten(reuters_filtered)).most_common(250)\n",
    "words=[i[0] for i in words]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "def tsne_plot(model):\n",
    "    \"Creates and TSNE model for a sample of 500 words from our vocab and plots it\"\n",
    "    labels = []\n",
    "    tokens = []\n",
    "\n",
    "    for word in model.wv.vocab:\n",
    "        if word in words:\n",
    "            tokens.append(model[word])\n",
    "            labels.append(word)\n",
    "    \n",
    "    tsne_model = TSNE(perplexity=40, n_components=2, init='pca', n_iter=5000, random_state=23)\n",
    "    new_values = tsne_model.fit_transform(tokens)\n",
    "\n",
    "    x = []\n",
    "    y = []\n",
    "    for value in new_values:\n",
    "        x.append(value[0])\n",
    "        y.append(value[1])\n",
    "        \n",
    "    plt.figure(figsize=(16, 16)) \n",
    "    for i in range(len(x)):\n",
    "        plt.scatter(x[i],y[i])\n",
    "        plt.annotate(labels[i],\n",
    "                     xy=(x[i], y[i]),\n",
    "                     xytext=(5, 2),\n",
    "                     textcoords='offset points',\n",
    "                     ha='right',\n",
    "                     va='bottom')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda2\\lib\\site-packages\\ipykernel\\__main__.py:11: DeprecationWarning: Call to deprecated `__getitem__` (Method will be removed in 4.0.0, use self.wv.__getitem__() instead).\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6oAAAOICAYAAADfGAwjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nD3bEzCeS/4JCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22625e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne_plot(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice some clustering.  In the middle-left, for instance, we see \"dividend\", \"split\", \"share\", and \"sharholders\" close together.  Bottom right, we see information about energy (opec, crude, energy, oil, gas, gulf).  \"Dollar\", \"Yen\", \"money\", \"exchange\", and \"currency\" all appear close to one another.  Obviously this model is not perfect, but this demonstrates it is possible to generate meaningful mathematical vectors from words.  We now combine this technique with data gathered on businesses present in the Business Register, and develop models to classify businesses into two-digit NAICS categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
